I'am finishing my undergraduate degree in pc technological know-how and in spite of having needed to take a few math training my math capacity is still quite terrible. I struggled plenty with it which I consider changed into due to missing a few portions of know-how that I had to realize and not seeing the large photograph. Now i'am reading neural networks and seems they require pretty some math(eg: the backpropagation set of rules uses the chain rule). some human beings say you do not need the maths but I don't think I will be capable of to understand neural networks absolutely with out it. or even if I could get away with i would in all likelihood nevertheless want the mathematics later on. i have approximately a month that i'm able to dedicate completely to this quest and i am determine

Modelfino0g

Modelfino0g

Answered question

2022-09-12

I'am finishing my undergraduate degree in pc technological know-how and in spite of having needed to take a few math training my math capacity is still quite terrible. I struggled plenty with it which I consider changed into due to missing a few portions of know-how that I had to realize and not seeing the large photograph. Now i'am reading neural networks and seems they require pretty some math(eg: the backpropagation set of rules uses the chain rule). some human beings say you do not need the maths but I don't think I will be capable of to understand neural networks absolutely with out it. or even if I could get away with i would in all likelihood nevertheless want the mathematics later on.
i have approximately a month that i'm able to dedicate completely to this quest and i am determined to examine linear algebra and multivariate calculus on this time frame. i can start with linear algebra (doesn't depend on calculus, proper?) they have got solutions so I ought to be able to easily tune my progress. I also observed this path from Berkeley Math a hundred and ten. Linear Algebra. It would not have video lectures but it has greater assignments with answers so i'm able to exercise even greater. As for textbooks MIT uses "advent to Linear Algebra, Fourth version, Gilbert Strang" and Berkeley uses "Linear Algebra through S.H. Friedberg,A.L. Insel and L.E. Spence,Fourth edition". people here appear to mention true matters approximately them.
I'am beginning this journey the following day. in the suggest time i'd want to get some advice. Do you've got any recommendation with the intention to make this method smoother? Are there every other assets I should recognize approximately?

Answer & Explanation

Baluttor7

Baluttor7

Beginner2022-09-13Added 17 answers

I personally study Neural Networks. You require a solid mathematical background to grasp the topics, especially derivations of different learning rules.
As an introductory text, I suggest "Neural Network Design" by Hagan, Demuth, and Beale. The textbook is written in a manner to first introduce the mathematical concepts, and then apply it to neural network scenarios. They do a good job of reviewing concepts in linear algebra, multivariate calculus, and optimization.

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